AI Ethics & Governance
Top Stories
-
News
16 Oct 2026
Open source and on device: the strategy behind Nvidia’s new AI models
The latest Nemotron 3.5 models show how the AI giant is focusing on reinforcing its own GPU infrastructure while supporting the open source community. Continue Reading
-
News
16 Oct 2026
Enterprise controls can't keep up with AI agents
Companies are giving agents more authority, but many are still struggling to track what they can access, what they're doing and how to stop them. Continue Reading
-
News
14 Mar 2023
Reasons for and effects of Microsoft cutting AI ethics unit
The tech giant has garnered much attention for integrating ChatGPT technology into its applications. However, eliminating its AI ethics unit raises questions. Continue Reading
-
Opinion
03 Mar 2023
The rise of automation and governance in MLOps
MLOps can make many of an organization's operations more efficient, but only when its automation capabilities are paired with effective governance strategies. Continue Reading
-
Feature
24 Feb 2023
ElevenLabs and the risks of voice-generating AI
The startup's technology is popular among content creators and also bad actors who use it maliciously. But the AI voice platform also raises the issue of what's real and fake. Continue Reading
-
News
24 Feb 2023
How ChatGPT can advance AI in the law industry
AI technology has made it easier for lawyers to do their job effectively. The emergence of generative AI is no exception. But lawyers who use this tool must do so responsibly. Continue Reading
-
Feature
03 Feb 2023
Federal report focuses on AI diversity and ethics
A national group formed to advance the research and development of AI in the U.S. proposes ways to add more variety among students, educators and researchers studying AI. Continue Reading
-
Feature
01 Feb 2023
Implications of AI art lawsuits for copyright laws
Lawsuits filed by Getty Images and several artists could determine whether generative AI developers can use copyrighted materials as part of their training data sets. Continue Reading
-
News
15 Dec 2022
Lensa AI app mixes up data, privacy and representation
The app generates avatars from users' images. While the terms and conditions worry critics, the avatars provide representation of racial groups not usually seen in art. Continue Reading
-
News
09 Dec 2022
Diversity within your AI team can reduce bias
The CEO of the Women Leaders in Data and AI group discusses why including women and other underrepresented groups on AI teams can help to address the problem of AI bias. Continue Reading
-
News
30 Nov 2022
AWS adds governance, geospatial tools to Amazon SageMaker
The cloud computing giant added data governance and geospatial tools to its machine learning platform and provided 40 new data connectors to Data Wrangler. Continue Reading
-
News
14 Nov 2022
Intel deepfake detector raises questions
The vendor created a detector that uses facial blood flow to determine if a video subject is fake or real. However, its effectiveness to detect a real or fake video is unclear. Continue Reading
-
Definition
10 Nov 2022
algorithmic transparency
Algorithmic transparency is openness about the purpose, structure and underlying actions of the algorithms used to search for, process and deliver information. Continue Reading
-
Tip
25 Oct 2022
How financial institutions can streamline compliance with AI
AI systems help make compliance processes more efficient and effective for financial institutions. Automation can reduce problems like human error and regulatory breaches. Continue Reading
-
Feature
07 Oct 2022
The long-term answer to fixing bias in AI systems
The technology is exploding with new developments daily. However, problems with training data can lead to bias. Fixing it requires retraining the data and educating users. Continue Reading
-
Feature
06 Oct 2022
The creative thief: AI tools creating generated art
AI systems such as OpenAI's Dall-E, Midjourney and Stable Diffusion are used to create striking images. But it can be unclear if the images are inspired by others or stolen. Continue Reading
-
Feature
05 Aug 2022
New AI ethics advisory board will deal with challenges
Created by the Institute for Experiential AI at Northeastern University, the board will help organizations without internal audit boards but will face some challenges. Continue Reading
-
News
27 Jul 2022
Deepfake technology risky but intriguing for enterprises
Enterprises can generate synthetic data sets with the technology. It is useful in broadcast and for advertising. However, its privacy and political implications can be dangerous. Continue Reading
-
Tip
20 Apr 2022
Use an AI governance framework to surmount challenges
As AI governance adapts to the rapidly expanding field of AI, businesses need a holistic framework to surmount challenges with clearly defined roles and responsibilities. Continue Reading
-
Feature
14 Apr 2022
Combating AI bias in the financial sector
Companies must use explainable AI to avoid making unfair and biased decisions about consumers. Some use machine learning tools; others avoid personally identifying information. Continue Reading
-
News
07 Apr 2022
Making AI systems responsible, competitive and functional
Many enterprises have a tough time building fair and trustworthy models. Doing so could be profitable for enterprises, while not doing so could be catastrophic. Continue Reading
-
News
06 Apr 2022
Monitaur makes AI governance tool generally available
GovernML helps enterprises determine policies surrounding responsible and ethical AI. It also helps enterprises determine their risk management policies. Continue Reading
-
Tip
01 Apr 2022
How AI ethics is the cornerstone of governance
The concept of AI ethics ensures that AI systems provide accuracy and reliability. Businesses will benefit from adopting AI ethics strategies of their own. Continue Reading
-
News
17 Mar 2022
China's AI regulations face technical challenge
China's AI regulations ask for things that may not be technically feasible, said Russell Wald, policy director at Stanford University's Institute for Human-Centered AI. Continue Reading
-
News
14 Mar 2022
Experts see positives to China's new AI regulations
In the international push to regulate AI, China may have developed some of the most ambitious rules to date, according to Alan Pelz-Sharpe, founder of Deep Analysis. Continue Reading
-
Feature
16 Feb 2022
Interpretability and explainability can lead to more reliable ML
Interpretability and explainability as machine learning concepts make algorithms more trustworthy and reliable. Author Serg Masís assesses their practical value in this Q&A. Continue Reading
-
Feature
11 Feb 2022
Differentiating between good and bad AI bias
As lawmakers and regulators look at ways to make machine learning models fair, some tech vendors are creating tools that aim to enable enterprises to achieve that purpose. Continue Reading
-
News
08 Feb 2022
Nvidia, Arm deal fails after heightened regulatory scrutiny
Nvidia's acquisition of Arm Ltd. faced its share of regulatory hurdles, but the global semiconductor chip shortage prompted increased scrutiny of the chip-related deal. Continue Reading
-
News
25 Jan 2022
IRS facial recognition move raises bias, privacy concerns
The agency requires photo identification for certain services using a face match system from digital ID vendor ID.me, but privacy advocates say the technology is prone to bias. Continue Reading
-
News
24 Jan 2022
Meta AI supercomputer looks toward the metaverse
The tech giant will use its new AI Research Supercluster internally for NLP and computer vision and to build new technologies for the metaverse. Continue Reading
-
News
12 Jan 2022
Mostly AI plans to use $25M funding for responsible AI efforts
The synthetic data vendor works with customers in Europe and North America. Experts say more than half of AI projects will be created using synthetic models by 2024. Continue Reading
-
News
09 Dec 2021
How an AI startup is trying to fix gender bias in the workplace
Startup Pipeline Equity provides enterprises with an AI platform to help make decisions about hiring, pay, performance, potential and promotion -- free of bias. Continue Reading
-
News
07 Dec 2021
Microsoft unveils responsible AI guidelines and dashboard
The tech giant unveiled 10 guidelines for organizations to consider when building AI models, and a dashboard that data scientists can use to ensure their models are ethical. Continue Reading
-
Feature
19 Oct 2021
FTC pursues AI regulation, bans biased algorithms
The agency tries to regulate how businesses use AI algorithms by enforcing the Fair Credit Reporting Act, Equal Opportunity Credit Act and FTC Act. Critics want more regulation. Continue Reading
-
News
08 Oct 2021
Examining both sides of the AI regulation debate
Some government and business leaders want more AI regulation to ensure that systems don't discriminate against or harm others. Others say too much regulation will stifle innovation. Continue Reading
-
Feature
23 Sep 2021
A look at AI trends and bias in AI algorithms
In the past few years, more and more organizations have focused on AI. However, just as the use of AI and machine learning has expanded, concern about AI bias is also growing. Continue Reading
-
Feature
21 Sep 2021
AI carbon footprint: Helping and hurting the environment
Companies can use AI to help the environment, including by using it to prevent forest fires and reduce factory waste. At the same time, AI has its own carbon footprint. Continue Reading
-
Feature
08 Sep 2021
Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success. Continue Reading
-
Feature
31 Aug 2021
AI and climate change: The mixed impact of machine learning
AI can both help and hurt the environment. While companies use artificial intelligence to increase factory efficiency and lower energy costs, training AI demands a lot of energy. Continue Reading
-
Definition
20 Aug 2021
What is data science? The ultimate guide
Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. Continue Reading
-
Feature
19 Aug 2021
AI accountability: Who's responsible when AI goes wrong?
Who should be held accountable when AI misbehaves? The users, the creators, the vendors? It's not clear, but experts have some ideas. Continue Reading
-
Feature
16 Aug 2021
Solving the AI black box problem through transparency
Ethical AI black box problems complicate user trust in the decision-making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading
-
Feature
23 Jul 2021
Building trustworthy AI is key for enterprises
Organizations need to focus on transparency in models, ethical procedures and responsible AI in order to best comply with guidelines for developing trustworthy AI systems. Continue Reading
-
Feature
25 Jun 2021
5 ways AI bias hurts your business
A biased AI system can lead businesses to produce skewed, harmful and even racist predictions. It's important for enterprises to understand the power and risks of AI bias. Continue Reading
-
Feature
23 Jun 2021
Combating racial bias in AI
By employing a diverse team to work on AI models, using large, diverse training sets, and keeping a sharp eye out, enterprises can root out bias in their AI models. Continue Reading
-
News
10 Jun 2021
Microsoft's acquisition of Nuance clears antitrust hurdle
The U.S. government didn't flag the Microsoft-Nuance acquisition as violating antitrust laws, but scrutiny of big tech continues as governments try to reign in powerful companies. Continue Reading
-
Feature
06 May 2021
How to detect bias in existing AI algorithms
While enterprises can't eliminate bias from their data, they can significantly reduce bias by establishing a governance framework and employing more diverse employees. Continue Reading
-
News
21 Apr 2021
IBM Watson updates focus on data privacy and explainability
Updates include new federated learning capabilities within IBM Watson Studio and more insights into how predictions are made in IBM Planning Analytics with Watson. Continue Reading
-
News
07 Apr 2021
Research manager resigns amid Google AI ethics controversy
Prominent Google AI research manager Samy Bengio resigns from the company following months of internal discord and the termination of two AI researchers. Continue Reading
-
Feature
30 Mar 2021
Synthetic data for machine learning combats privacy, bias issues
Synthetic data generation for machine learning can combat bias and privacy concerns while democratizing AI for smaller companies with data set issues. Continue Reading
-
Feature
19 Feb 2021
Nvidia acquisition of Arm faces industry, regulatory hurdles
Nvidia's acquisition of Arm Ltd. could change the chipmaker landscape and is reportedly raising industry and regulatory eyebrows. Continue Reading
-
Feature
19 Feb 2021
CTO on the need for AI ethics and diversity
A CTO talks about the importance of diverse data sets when creating AI models and how a lack of diversity can create bias in systems. Continue Reading
-
Feature
27 Jan 2021
Tackling the AI bias problem at the origin: Training data
Though data bias may seem like a back-end issue, the enterprise implications of an AI software using biased data can derail model implementation. Continue Reading
-
Feature
15 Jan 2021
Diverse talent pools and data sets can help solve bias in AI
Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model. Continue Reading
-
News
12 Jan 2021
White House issues guiding principles for AI regulations
While the recommendations for AI regulation in the White House memo are loose, they appear to show the government is beginning to embrace AI, and could be a start toward oversight. Continue Reading
-
News
08 Jan 2021
Doubts about Trump video show how hard deepfakes are to detect
Some Twitter users insist that a recent video of President Trump admitting his defeat in the election is a deepfake, although there's no proof. Deepfakes are difficult to detect. Continue Reading
-
News
15 Dec 2020
DataRobot releases new feature to detect AI bias
DataRobot is the latest AI vendor to address AI bias, releasing a new feature to help organizations detect and prevent bias in their models. Continue Reading
-
News
08 Dec 2020
Amazon SageMaker Clarify aims to mitigate bias in machine learning
AWS looks to tackle machine learning bias with a new a new tool that works with Amazon SageMaker products to help developers and users better detect and eliminate AI bias. Continue Reading
-
News
04 Dec 2020
Hundreds support former Google AI ethics researcher Timnit Gebru
A prominent AI ethics researcher said she was unfairly fired by Google after sending an email to colleagues critical of the way Google treats women and people of color. Continue Reading
-
Feature
26 Oct 2020
Insurance provider uses AI for legal to manage contracts
The legal team at Asurion, a major insurance provider, kept its documents spread out across filing cabinets, hard drives and the cloud. It turned to an AI platform to better manage them. Continue Reading
-
Feature
09 Oct 2020
Establishing AI governance in a business
It's hard to ethically manage data for AI models, but AI governance, as well as a strong ethics framework, can help enterprises effectively manage data and models. Continue Reading
-
Feature
25 Sep 2020
The deepfake 2020 election threat is real, but containable
Disinformation could harm the 2020 presidential election, and technology simply isn't advanced enough to detect manipulated content, especially deepfakes. Continue Reading
-
News
03 Sep 2020
Microsoft deepfake software combats election propaganda
Ahead of the 2020 United States presidential election, Microsoft released Video Authenticator, an AI-powered tool to help identify deepfake images and videos. Continue Reading
-
Feature
31 Aug 2020
Responsible AI champions human-centric machine learning
Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading
-
Feature
27 Aug 2020
It's time to address AI ethics
Enterprises need to focus on creating and adopting AI ethical guidelines, especially for emerging technologies such as facial recognition and home assistants. Continue Reading
-
Feature
25 Aug 2020
Bias in machine learning examples: Policing, banking, COVID-19
Human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights. Continue Reading
-
Opinion
17 Aug 2020
Does technology increase the problem of racism and discrimination?
According to a publication from the MIT Technology Review, technology promotes racism. Most facial recognition algorithms discriminate against the Black population. And even certain concepts or technological terminology tend to be offensive, highlighting "white supremacy." Continue Reading
-
Tip
11 Aug 2020
Data science's ongoing battle to quell bias in machine learning
Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
-
Feature
30 Jun 2020
Understanding how deep learning black box training creates bias
Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology. Continue Reading
-
News
29 Jun 2020
IBM donates AI ethics tools to Linux Foundation
IBM donates open source toolkits AI Fairness 360, Adversarial Robustness 360 and AI Explainability 360 to the Linux Foundation amid calls for more ethical AI. Continue Reading
-
Feature
29 May 2020
Contact tracing apps seem effective, but have privacy concerns
Contact tracing mobile applications appear to offer an easier, safer way to track where an infected person has been, but technology could cross a data privacy boundary. Continue Reading
-
News
19 May 2020
Pegasystems releases Ethical Bias Check to cut down on AI bias
Pegasystems has embedded a new tool to combat AI bias in its Pega Customer Decision Hub. The tool can alert users to potential biases before they deploy system changes. Continue Reading
-
News
08 May 2020
Automated data governance vendor Immuta gets key update
An update to Immuta's automated data governance enabled one of its users to better anonymize its consumers' data and control who has access to it. Continue Reading
-
Feature
24 Apr 2020
Safety vs. privacy in the age of coronavirus raises tech questions
To slow the spread of the coronavirus, governments and organizations are using contact tracing and thermal imaging for fever detection, but these methods carry privacy concerns. Continue Reading
-
Feature
21 Apr 2020
4 explainable AI techniques for machine learning models
At its core, AI is a complex modeling process with layers of information. In order to be able to explain the algorithm's decision-making process, start with its input data. Continue Reading
-
Feature
15 Apr 2020
Here's how one lawyer advises removing bias from AI
Avoiding bias in AI applications is one of the central challenges in using the technology. Here's some advice on deploying AI technologies in a way that is fair. Continue Reading
-
Feature
02 Apr 2020
Using AI in AML fights fraud while protecting privacy
Money laundering and fraud remain a risk for financial institutions, but AI can act as a useful tool against a constantly evolving financial enemy. Continue Reading
-
Feature
04 Mar 2020
The state of AI defined by global adoption and regulation
Cognilytica reports on AI adoption by both countries and companies across the globe, as well as the former's overall strategies and regulation frameworks. Continue Reading
-
News
02 Mar 2020
The pope, with Microsoft and IBM, calls for AI ethics
The Pontifical Academy for Life has issued new guidelines for ethical AI that call for artificial intelligence technology to be explainable, trusted and secure. Continue Reading
-
News
20 Feb 2020
EU AI regulation guidelines worry vendors
The EU released AI regulation guidelines that demand AI systems in high-risk areas are transparent and have human oversight. Some vendors are worried. Continue Reading
-
News
07 Feb 2020
IBM's Policy Lab calls for AI regulation
Launched during the Davos World Economic Forum, IBM's Policy Lab seeks to unite governments and businesses on creating and adopting more regulation of AI. Continue Reading
-
Feature
27 Dec 2019
The complex nature of regulating AI
Regulating AI is a difficult task because the technology changes rapidly. Governments must be able to employ preventative regulation to prevent any misuse. Continue Reading
-
Feature
24 Dec 2019
UX defines chasm between explainable vs. interpretable AI
From deep learning to simple code, all algorithms should be transparent. The frameworks of AI interpretability and explainability aim to make machine learning understandable to humans. Continue Reading
-
Feature
12 Dec 2019
AI trends 2020 outlook: More automation, explainability
Top AI trends for 2020 are increased automation to extend traditional RPA, deeper explainable AI with more natural language capacity, and better chips for AI on the edge. Continue Reading
-
News
06 Dec 2019
AWS, NFL machine learning partnership looks at player safety
A new AWS and NFL partnership aims to use AI and machine learning to reduce the risk of injuries to players. The partnership builds off of the companies' Next Gen Stats agreement. Continue Reading
-
News
22 Nov 2019
Google Cloud Explainable AI aims to clear up outputs
A new Google product suite enables users to create and deploy more interpretable machine learning models with output visualizations, feature attribution and evaluation tools. Continue Reading
-
News
14 Nov 2019
Anaheim PD explores facial recognition for law enforcement
Using a facial recognition platform from Veritone, the Anaheim Police Department can more quickly identify suspects captured on camera by comparing photos with booking photos. Continue Reading
-
Feature
08 Nov 2019
Training data in facial recognition use cases reveals bias
Applications of facial recognition technology show incredible promise in law enforcement and personal privacy, but the risks are holding enterprises back from adoption. Continue Reading
-
News
10 Oct 2019
As more push for explainable AI, companies add features
As businesses demand more explainable AI, vendors such as IBM and DarwinAI are introducing new features to help break down for business users how AI systems work. Continue Reading
-
Feature
07 Oct 2019
Government AI strategy includes tech transfer to private sector
The Department of Energy's chief commercialization officer works with the DoE's national laboratories on transferring AI and other technologies to the private sector. Continue Reading
-
Feature
03 Oct 2019
Ethical concerns of AI call growing adoption into question
AI tools are getting easier to use every day, putting powerful tools into the hands of potentially malicious users. The time to think about the ethics of AI advances is now. Continue Reading
-
News
03 Oct 2019
Energy secretary Rick Perry touts U.S. government AI efforts
The U.S. government is ramping up AI research and development efforts to try to stay ahead of China in both public and private sector AI efforts. Continue Reading
-
Feature
23 Sep 2019
Clashes between AI and data privacy affect model training
Enterprises' lax data rules reveal weaknesses around AI and model training -- particularly machine learning's reliance on unrestrained big data collection. Continue Reading
-
News
19 Sep 2019
Organizations hire ethicists for AI ethical concerns
As organizations wrestle with AI ethical concerns, they need to create AI ethicist roles or develop teams to consider issues around data governance, data privacy and AI ethics. Continue Reading
-
Feature
16 Sep 2019
Collaborative robots' safety stalls enterprise implementation
Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading
-
News
28 Aug 2019
Microsoft India AI workshops to upskill government employees
Microsoft India partnered with the government of India to launch a new training program for government employees on AI, data governance and cloud computing. Continue Reading
-
Feature
28 Aug 2019
Enterprises work toward AI trust and transparency
If ignored, a lack of trust in AI algorithms could diminish user adoption. To remedy this risk, enterprises are working to make their applications more transparent and explainable. Continue Reading
-
News
09 Aug 2019
IBM interprets machine models with AI Explainability kit
IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models. Continue Reading
-
News
08 Aug 2019
Enterprises should start developing an AI ethics framework
As enterprises begin to deploy AI, they should focus on AI and ethics issues, as well as data privacy, and begin to create policies and guidelines around them. Continue Reading
-
Feature
01 Aug 2019
Use of AI in government makes agencies smarter
Government agencies are starting to embrace some of the same AI technologies that typical enterprises use, and many are finding increased efficiencies along the way. Continue Reading
-
Feature
31 Jul 2019
AI in law enforcement is growing, but needs work
AI for police includes numerous different analytics, machine learning and natural language processing technologies, including facial recognition and automated transcription tools. Continue Reading
-
Feature
18 Jul 2019
Enterprise consumer relationships are building trust in AI
Transparency is an increasingly important component of consumer trust. If you want to win over consumers whose data is being collected, start with explainability and collaboration. Continue Reading